Sustainable development

Irish hospital turns to AI for appointment management

Beaumont Hospital in Dublin plans to deploy AI to predict patient no-shows and late cancellations, aiming to reduce wasted resources.

Instead of relying solely on reminders, the hospital will pilot AI software costing up to €110,000, using patient data to forecast missed appointments. Currently, no-shows account for 15.5% of its outpatient slots.

The system will integrate with Beaumont’s existing two-way text messaging service. Rather than sending uniform reminders, the AI model will tailor messages based on the likelihood of attendance while providing hospital staff with real-time insights to better manage clinic schedules.

The pilot is expected to begin in late 2025 or early 2026, potentially expanding into a full €1.2 million contract.

The move forms part of Beaumont Hospital’s strategic plan through 2030 to reduce outpatient non-attendance. It follows the broader adoption of AI in Irish healthcare, including Mater Hospital’s recent launch of an AI and Digital Health centre designed to tackle clinical challenges using new technologies.

Instead of viewing AI as a future option, Irish hospitals now increasingly treat it as an immediate solution to operational inefficiencies, hoping it will transform healthcare delivery and improve patient service.

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Hackers hide malware using DNS TXT records

Hackers are increasingly exploiting DNS records to deliver malware undetected, according to new research from DomainTools.

Instead of relying on typical delivery methods such as emails or downloads, attackers now hide malicious code within DNS TXT records, part of the Domain Name System, often overlooked by security systems.

The method involves converting malware into hexadecimal code, splitting it into small segments, and storing each chunk in the TXT record of subdomains under domains like whitetreecollective.com.

Once attackers gain limited access to a network, they retrieve these chunks via ordinary-looking DNS queries, reassembling them into functioning malware without triggering antivirus or firewall alerts.

The rising use of encrypted DNS protocols like DNS-over-HTTPS and DNS-over-TLS makes detecting such queries harder, especially without in-house DNS resolvers equipped for deep inspection.

Researchers also noted that attackers are using DNS TXT records for malware and embedding harmful text designed to manipulate AI systems through prompt injection.

Ian Campbell of DomainTools warns that even organisations with strong security measures struggle to detect such DNS-based threats due to the hidden nature of the traffic.

Instead of focusing solely on traditional defences, organisations are advised to monitor DNS traffic closely, log and inspect queries through internal resolvers, and restrict DNS access to trusted sources. Educating teams on these emerging threats remains essential for maintaining robust cybersecurity.

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Perplexity AI overtakes ChatGPT on India’s App Store

Perplexity AI has overtaken OpenAI’s ChatGPT as the top AI app on Apple’s App Store in India, following a new partnership with telecom provider Airtel.

Instead of paying the usual ₹17,000 annual fee for Perplexity AI Pro, Airtel customers now receive a free 12-month subscription, triggering a sharp increase in downloads and user engagement.

Perplexity AI CEO Aravind Srinivas confirmed the app’s rise to the number one position via LinkedIn.

The Perplexity app, available on iOS and browsers, offers AI search features including image generation, research tools, file analysis, and access to models like Claude, Grok 4, and GPT-4.1.

Although the app has been in the App Store for months, it has not surpassed ChatGPT until now.

The Airtel offer applies to all mobile, broadband, and DTH customers, who can redeem their subscription directly through the Airtel Thanks app.

Instead of limiting access to just the app, Perplexity Pro users can also use its advanced AI functionalities via Safari or Chrome browsers.

The offer is seen as especially beneficial for students, researchers, and professionals, encouraging a broader audience to try the service without an upfront payment.

Perplexity’s rapid rise in popularity highlights growing competition in India’s AI app market, with local telecom partnerships becoming a key driver instead of relying solely on organic growth through app stores.

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OpenAI releases ChatGPT agent with task automation tools

OpenAI has introduced a general-purpose AI agent within ChatGPT, aiming to move beyond answering questions by completing various computer-based tasks.

Known as ChatGPT agent, the tool allows users to navigate calendars, generate editable presentations, and write code simply by using natural language prompts.

Rather than acting as a standalone product, ChatGPT agent integrates capabilities from OpenAI’s earlier tools, combining website navigation and in-depth research features.

Rolling out to Pro, Plus, and Team subscribers, the ChatGPT agent also connects with external apps like Gmail and GitHub. Instead of being limited to basic queries, it can access a terminal and use APIs, enabling tasks such as analysing competitors or planning shopping lists.

OpenAI claims its underlying model delivers state-of-the-art results, scoring significantly higher than previous versions on academic and maths benchmarks.

While positioning ChatGPT as its most capable AI tool yet, OpenAI has implemented several new safety measures due to the agent’s potential risks. The company acknowledges its model could amplify harm in sensitive areas like biological and chemical threats.

To mitigate such dangers, OpenAI monitors prompts in real time and turns off ChatGPT’s memory feature within the agent to avoid data leaks through malicious attacks.

Despite these precautions, questions remain over whether the ChatGPT agent will consistently perform complex tasks in the real world. Earlier agent technologies from various companies have often failed to meet expectations.

OpenAI, however, insists its new release represents a more robust step towards fulfilling the vision of practical AI agents.

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xAI eyes data centre deal with Humain

Elon Musk’s AI venture, xAI, has entered early discussions with Humain to secure data centre capacity instead of relying solely on existing infrastructure.

According to Bloomberg, the arrangement could involve several gigawatts of capacity, although Humain has yet to start building its facilities, meaning any deal would take years to materialise.

Humain is backed by Saudi Arabia’s Crown Prince Mohammed bin Salman and the Public Investment Fund (PIF). xAI is reportedly considering a fresh funding round where PIF might also invest.

At the same time, xAI is negotiating with a smaller company constructing a 200-megawatt data centre, offering a more immediate solution while waiting for larger projects.

Rather than operating in isolation, xAI joins AI competitors like Google, Meta and Microsoft in racing to secure vast computing power for training large AI models. The push for massive data centre capacity reflects the escalating demands of advanced AI systems.

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How cultural heritage can go green through digital preservation

A Europe-wide survey has exposed how cultural heritage institutions (CHIs) protect humanity’s legacy digitally while unintentionally harming the environment.

Instead of focusing only on efficiency, the Europeana Climate Action Community recommends a shift towards environmentally sustainable and regenerative digital preservation.

Led by the Environmental Sustainability Practice Task Force, the survey collected input from 108 organisations across 24 EU countries. While 80% of CHIs recognise environmental responsibility, just 42% follow formal environmental strategies and a mere 14% measure carbon footprints.

Many maintain redundant data backups without assessing the ecological cost, and most lack policies for retiring digital assets responsibly.

The report suggests CHIs develop community-powered archives, adopt hardware recycling and repair, and prioritise sufficiency instead of maximising digital volume. Interviews with institutions such as the National Library of Finland and the POLIN Museum revealed good practices alongside common challenges.

With digital preservation increasingly essential, the Europeana Initiative calls for immediate action. By moving from isolated efficiency efforts to collective regeneration strategies, CHIs can protect cultural memory while reducing environmental impact for future generations.

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Generative AI now powers 20% of new Steam games

Nearly 20 percent of video games released on Steam in 2025 include generative AI, according to a new report by Totally Human Media.

The report, based on data gathered from Steam, states that around 7,818 games currently disclose using generative AI. The figure represents roughly 7 percent of the platform’s entire catalogue. For games launched in 2025, nearly one in five incorporate AI tools or openly disclose doing so.

Compared to 2024, this marks a nearly 700 percent increase in generative AI adoption, reflecting a broader industry trend towards automation and machine-generated content.

Among the most prominent titles is My Summer Car, a vehicle simulation game with over 2.5 million copies sold. The developers disclosed that the game includes ‘some AI generated paintings found inside the main house’.

Valve, the company behind Steam, began requiring game developers to disclose AI use in January 2024. While the company did not comment on the findings, the policy has enabled public tracking of AI adoption across the platform.

Community reaction to the trend has been mixed. On Reddit, many users said they would automatically add AI-driven games to their ignore lists. One commenter wrote, ‘We need to tag them so they can be an ignored category.’ Others expressed disappointment in indie developers turning to generative tools over human artists.

Some users acknowledged the complexity of the issue. A typical comment noted that while AI usage in minor elements like UI assets might be acceptable, reliance on AI for core content raises questions about value and originality. One post read, ‘What am I paying for if it’s all AI? I agree with that sentiment.’

Steam’s Next Fest, which showcases upcoming releases, drew criticism from some players who said they lost interest in promising titles upon discovering their use of generative AI.

Despite user backlash, industry momentum continues to build. Many developers see AI as a means to streamline asset creation and reduce production costs, though concerns about quality, ethics, and employment remain central to the debate.

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Google expands AI tools in Search with new subscriber perks

Google has begun rolling out new AI features in Search, introducing AI-powered phone calling to help users gather business information instead of contacting places manually.

The service, free for everyone in the US, allows people to search for businesses and have Google’s AI check pricing and availability on their behalf.

Subscribers to Google AI Pro and AI Ultra receive additional exclusive capabilities. These include access to Gemini 2.5 Pro, Google’s most advanced AI model, which supports complex queries such as coding or financial analysis.

Users can enable Gemini 2.5 Pro through the AI Mode tab instead of relying on the default model. Google is also launching Deep Research tools through Deep Search for in-depth investigations related to work, studies, or major life decisions.

Rather than rolling everything out all at once, Google is phasing in the features gradually. AI-powered calling is now available to all Search users in the US, while Gemini 2.5 Pro and Deep Research are becoming available specifically to AI Pro and AI Ultra subscribers.

With these updates, Google aims to position Search as more than a simple information tool by transforming it into an active digital assistant capable of handling everyday tasks and complex research instead of merely providing quick answers.

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South Korea’s new Science Minister pledges AI-led national transformation

South Korea’s new Science and ICT Minister, Bae Kyung-hoon, has pledged to turn the nation into one of the world’s top three AI powerhouses.

Instead of following outdated methods, Bae outlined a bold national strategy centred on AI, science and technology, aiming to raise Korea’s potential growth rate to 3 per cent and secure a global economic leadership position.

Bae, a leading AI expert and former president of LG AI Research, officially assumed office on Thursday.

Drawing from experience developing hyperscale AI models like LG’s Exaone, he emphasised the need to build a unique competitive advantage rooted in AI transformation, talent development and technological innovation.

Rather than focusing only on industrial growth, Bae’s policy agenda targets a broad AI ecosystem, revitalised research and development, world-class talent nurturing, and addressing issues affecting daily life.

His plans include establishing AI-centred universities, enhancing digital infrastructure, promoting AI semiconductors, restoring grassroots research funding, and expanding consumer rights in telecommunications.

With these strategies, Bae aims to make AI accessible to all citizens instead of limiting it to large corporations or research institutes. His vision is for South Korea to lead in AI development while supporting social equity, cybersecurity, and nationwide innovation.

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EU confirms AI Act rollout and releases GPAI Code of Practice

The European Commission has confirmed it will move forward with the EU AI Act exactly as scheduled, instead of granting delays requested by tech giants and businesses.

On 10 July 2025, it published the final General-Purpose AI (GPAI) Code of Practice alongside FAQs to guide organisations aiming to comply with the new law.

Rather than opting for a more flexible timetable, the Commission is standing firm on its regulatory goals. The GPAI Code of Practice, now in its final form, sets out voluntary but strongly recommended steps for companies that want reduced administrative burdens and clearer legal certainty under the AI Act.

The document covers transparency, copyright, and safety standards for advanced AI models, including a model documentation form for providers.

Key dates have already been set. From 2 August 2025, rules covering notifications, governance, and penalties will come into force. By February 2026, official guidelines on classifying high-risk AI systems are expected.

The remaining parts of the legislation will take effect by August 2026, instead of being postponed further.

With the publication of the GPAI Code of Practice, the EU takes another step towards building a unified ethical framework for AI development and deployment across Europe, focusing on transparency, accountability, and respect for fundamental rights.

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